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📖 The AI Tool Bible

Habibi vs LangSmith

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Habibi
Evaluation
LangSmith
Evaluation
TaglineSelf-hosted generative engine optimization for tracking brand mentions across ChatGPT, Perplexity, and GeminiLangChain's eval + observability platform.
CategoryEvaluationEvaluation
PricingFreemium· Self-host free under the Sustainable Use License; deploy via Opsily starting at $20/month for the underlying server (no separate Habibi seat fees). Users bring their own OpenAI, Perplexity, and Google API keys, which are billed separately by those providers.Freemium· Free starter; Plus $39/mo per seat
ModelGPT-4o, Perplexity Sonar, Gemini (bring-your-own API keys)Platform (any LLM)
Editorial score—8.7 / 10
Use cases
AI answer engine visibility trackingChatGPT brand mention monitoringPerplexity citation trackingGemini share-of-voice reportingCompetitor GEO benchmarkingPage-level citation mappingClient-facing GEO reporting for agenciesGDPR-compliant AI visibility monitoringPrompt-library A/B testing for content changes
LLM tracingevalsLangChain integration
Pros
  • Self-hosted with data kept in a local SQLite database, so prompt libraries and competitor lists never leave your infrastructure
  • Flat server-based pricing (from about $20/month via Opsily) instead of per-seat SaaS fees that typically run $99-$579/month
  • Unlimited team seats at no extra cost, which suits agencies managing many client workspaces
  • Multi-sample runs per prompt smooth out LLM non-determinism and give more trustworthy mention-rate numbers
  • Page-level citation tracking shows which specific URLs answer engines actually cite, not just brand-name mentions
  • Covers the three highest-traffic answer engines (ChatGPT, Perplexity, Gemini) in one dashboard
  • EU (Germany) hosting option and bring-your-own-key model make GDPR and data-sovereignty stories straightforward
  • Tight LangChain integration
  • Strong tracing UX
  • Mature dataset/eval flows
  • Reasonable per-seat pricing
Cons
  • You pay separately for OpenAI, Perplexity, and Gemini API usage, and heavy sampling can make those bills non-trivial
  • Requires running and maintaining a server (or paying Opsily to do it), which is more setup than a pure SaaS signup
  • Sustainable Use License is source-available but not true OSI open source, so commercial resale as a service is restricted
  • Coverage is limited to ChatGPT, Perplexity, and Gemini today; Copilot, Claude, and Grok visibility are not first-class
  • GEO is a young discipline and the underlying prompt-sampling methodology can still misrepresent volatile answer surfaces
  • Best value if you're on LangChain
  • UI can feel dense
Websiteopsily.comwww.langchain.com
Pick Habibi if
  • ✅ Self-hosted with data kept in a local SQLite database, so prompt libraries and competitor lists never leave your infrastructure
  • ✅ Flat server-based pricing (from about $20/month via Opsily) instead of per-seat SaaS fees that typically run $99-$579/month
  • ✅ Unlimited team seats at no extra cost, which suits agencies managing many client workspaces
  • ✅ Multi-sample runs per prompt smooth out LLM non-determinism and give more trustworthy mention-rate numbers
Pick LangSmith if
  • ✅ Tight LangChain integration
  • ✅ Strong tracing UX
  • ✅ Mature dataset/eval flows
  • ✅ Reasonable per-seat pricing
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